Jets
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Game Center
	Moose 37-41-4, 78pts	0	FINAL	2	Roadrunners 49-26-7, 105pts

Team Stats
L2	Streak	W2
20-17-4	Home Record	31-9-1
17-24-0	Away Record	18-17-6
3-7-0	Last 10 Games	7-3-0
3.57	Goals Per Game	3.94
3.66	Goals Against Per Game	3.01
24.90%	Power Play Percentage	20.73%
75.25%	Penalty Kill Percentage	78.63%

Barracuda
50-26-6, 106pts

FINAL

Moose
37-41-4, 78pts

Team Stats
W3	Streak	L2
27-11-3	Home Record	20-17-4
23-15-3	Away Record	17-24-0
7-3-0	Last 10 Games	3-7-0
4.34	Goals Per Game	3.57
3.28	Goals Against Per Game	3.66
23.64%	Power Play Percentage	24.90%
82.86%	Penalty Kill Percentage	75.25%

Team Leaders
	Goals Andrew Poturalski 10	Assists Andrew Poturalski 10

	Points Andrew Poturalski 20	Plus/Minus Andrew Poturalski -6

	Wins Aaron Dell 37	Save Percentage Aaron Dell 0.905

Team Stats
Goals For 293 3.57 GFG	Shots For 3098 37.78 Avg	Power Play Percentage 24.9% 62 GF	Offensive Zone Start 40.2%
Goals Against 300 3.66 GAA	Shots Against 3129 38.16 Avg	Penalty Kill Percentage 75.2% 50 GA	Defensive Zone Start 41.0%

Team Info
	General Manager	Sam Vienneau
	Coach	Mark Recchi
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,982
	Season Tickets	300
Roster Info
	Pro Team	17
	Farm Team	20
	Contract Limit	37 / 80
	Prospects	28
Team History
	This Season	37-41-4 (78PTS)
	History	67-88-11 (0.404%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	Stanley Cup	0

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Patrick Brown	0	X		X		100.00	81	38	90	63	81	86	83	62	72	64	58	67	59	73	77	0	75	65	0	33	1	975,000$
2	Max Jones (R)	0		X			100.00	81	53	75	63	87	80	82	62	58	63	62	60	65	68	69	0	75	64	0	27	1	950,000$
3	Antonio Stranges (R)	0	X				100.00	57	37	89	65	66	91	80	63	64	62	61	64	66	63	65	0	75	63	0	23	1	950,000$
4	Filip Bystedt (R)	0	X				100.00	69	40	81	65	78	84	70	64	70	63	62	61	65	61	63	0	75	63	0	21	3	950,000$
5	Kole Lind (R)	0			X		100.00	70	41	69	64	78	85	86	63	65	62	58	61	63	67	69	0	75	63	0	26	3	999,999$
6	T.J. Tynan	0	X	X	X		100.00	60	38	69	64	60	73	85	62	73	66	57	59	63	73	75	0	75	62	0	33	2	999,999$
7	Hayden Hodgson	0			X		100.00	78	65	50	59	85	73	77	57	53	58	56	59	57	69	71	0	75	61	0	29	2	975,000$
8	Zayde Wisdom (R)	0	X				100.00	62	39	81	59	71	73	82	58	55	57	56	54	58	63	65	0	75	60	0	23	1	950,000$
9	William Wallinder (R)	0				X	100.00	76	39	94	59	85	65	84	58	30	57	52	63	45	63	65	0	75	61	0	23	2	950,000$
10	Guillaume Brisebois (R)	0				X	100.00	65	37	90	58	75	81	70	57	30	56	55	62	49	68	70	0	75	60	0	28	3	950,000$
11	Tyson Hinds (R)	0				X	100.00	72	40	81	57	81	67	87	56	30	55	53	58	46	62	64	0	75	60	0	22	2	950,000$
12	Reilly Walsh (R)	0				X	100.00	62	38	87	60	71	70	84	57	30	61	55	56	47	66	68	0	75	60	0	26	2	975,000$
Scratches
1	Lukas Rousek (R)	0		X	X		100.00	58	37	86	66	72	74	86	64	70	65	56	61	59	67	68	0	75	63	0	26	3	999,999$
2	Nikita Grebenkin (R)	0			X		100.00	72	41	75	64	82	75	70	63	57	60	58	56	61	63	64	0	75	62	0	22	3	950,000$
3	Ryan Jones (R)	0				X	61.52	69	40	83	55	78	66	68	52	30	54	50	53	45	69	71	0	75	58	0	29	3	950,000$

	TEAM AVERAGE					97.43	69	42	80	61	77	76	80	60	52	60	57	60	57	66	68	0	75	62

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Aaron Dell	100.00	69	75	69	77	68	67	69	68	67	69	68	76	90	0	75	63	0	36	1	838,800$
2	Michael Houser	100.00	68	75	70	74	67	66	68	67	66	68	67	73	87	0	75	62	0	33	2	975,000$
Scratches

	TEAM AVERAGE	100.00	69	75	70	76	68	67	69	68	67	69	68	75	89	0	75	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mark Recchi	68	63	69	73	84	78	63	CAN	57	2	1,000,000$

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Filip Bystedt	Moose (WPG)	C	82	34	67	101	0	20	0	109	293	365	94	249	9.32%	34	1745	21.29	3	21	24	50	169	3	41	8	2	54.82%	2419	0	3	1.16	0	0	0	5	1	3
2	Lukas Rousek	Moose (WPG)	LW/RW	75	40	50	90	-12	14	0	88	183	398	118	281	10.05%	34	1654	22.07	11	17	28	76	210	1	47	4	3	54.30%	186	0	2	1.09	0	0	0	3	8	1
3	Kole Lind	Moose (WPG)	RW	78	43	44	87	0	32	0	184	187	338	83	232	12.72%	33	1561	20.02	12	6	18	65	162	0	38	3	1	55.84%	154	1	0	1.11	0	0	0	6	5	2
4	William Wallinder	Moose (WPG)	D	82	20	56	76	14	92	10	253	127	203	71	121	9.85%	177	1997	24.36	11	12	23	100	192	1	135	3	1	48.89%	45	0	0	0.76	2	0	0	0	5	5
5	Guillaume Brisebois	Moose (WPG)	D	82	16	43	59	-28	32	0	102	124	199	65	135	8.04%	121	1875	22.88	9	15	24	84	208	2	149	1	0	35.71%	56	0	0	0.63	0	0	0	1	2	5
6	T.J. Tynan	Moose (WPG)	C/LW/RW	77	17	42	59	-9	18	0	70	166	237	64	180	7.17%	24	1508	19.59	2	7	9	20	80	0	10	2	1	50.33%	453	0	0	0.78	0	0	0	2	2	0
7	Patrick Brown	Moose (WPG)	C/RW	36	20	30	50	7	27	5	112	157	220	61	139	9.09%	25	875	24.33	5	6	11	31	94	3	90	5	1	58.62%	1172	0	0	1.14	0	0	1	5	1	6
8	Hayden Hodgson	Moose (WPG)	RW	82	24	24	48	-2	74	20	283	123	211	55	145	11.37%	52	1423	17.35	0	0	0	0	0	0	0	2	1	47.22%	72	0	2	0.67	0	2	2	3	1	2
9	Zayde Wisdom	Moose (WPG)	C	82	7	35	42	-4	20	0	102	102	89	30	48	7.87%	86	1620	19.76	0	0	0	0	1	0	0	0	0	47.81%	320	0	0	0.52	0	0	0	1	1	2
10	Nikita Grebenkin	Moose (WPG)	RW	63	14	27	41	-3	26	0	97	99	164	45	130	8.54%	15	1040	16.51	0	2	2	1	7	0	16	2	1	46.73%	199	1	0	0.79	0	0	0	1	0	6
11	Antonio Stranges	Moose (WPG)	C	58	17	23	40	3	2	0	11	174	197	69	148	8.63%	14	950	16.39	2	1	3	4	10	0	15	2	0	52.42%	1097	1	0	0.84	0	0	0	3	1	0
12	Tyson Hinds	Moose (WPG)	D	53	6	14	20	-19	40	0	130	44	66	26	44	9.09%	77	1086	20.50	2	6	8	23	123	0	95	0	0	33.33%	3	0	0	0.37	0	0	0	0	0	1
13	Andrew Poturalski	Jets	C/LW/RW	16	10	10	20	-6	2	0	11	46	81	24	64	12.35%	16	412	25.79	2	2	4	17	45	4	40	1	0	46.94%	49	1	0	0.97	0	0	0	3	0	3
14	Reilly Walsh	Moose (WPG)	D	34	5	11	16	9	16	0	41	36	52	18	27	9.62%	61	810	23.85	1	3	4	26	86	0	57	2	1	33.33%	6	0	0	0.39	0	0	0	1	0	0
15	Ryan Jones	Moose (WPG)	D	44	4	6	10	6	28	0	88	27	25	13	12	16.00%	40	662	15.07	0	1	1	2	10	0	29	0	0	0.00%	0	0	0	0.30	0	0	0	0	2	2
16	Max Jones	Moose (WPG)	LW	5	2	2	4	4	4	0	10	12	25	2	9	8.00%	1	90	18.15	0	0	0	5	14	0	5	1	0	50.00%	4	0	0	0.88	0	0	0	1	0	0
Team Total or Average				949	279	484	763	-40	447	35	1691	1900	2870	838	1964	9.72%	810	19317	20.36	60	99	159	504	1420	14	774	36	12	53.78%	6235	4	7	0.79	2	2	3	35	29	38

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	ST	BG	S1	S2	S3
1	Aaron Dell	Moose (WPG)	82	37	40	3	0.905	3.59	4659	6	1	279	2951	4	4	82	0	4	8	2
2	Michael Houser	Moose (WPG)	8	0	1	1	0.902	3.75	272	0	0	17	174	0	0	0	82	0	0	0
Team Total or Average			90	37	41	4	0.905	3.60	4931	6	1	296	3125	4	4	82	82	4	8	2

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Aaron Dell	Moose (WPG)	G	36	1989-05-04	No	213 Lbs	6 ft0	No	No	No	1	Pro & Farm	838,800$	838,800$	0$	0$	No			Link / NHL Link
Antonio Stranges	Moose (WPG)	C	23	2002-02-05	Yes	168 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link
Filip Bystedt	Moose (WPG)	C	21	2004-02-04	Yes	187 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Guillaume Brisebois	Moose (WPG)	D	28	1997-07-21	Yes	175 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Hayden Hodgson	Moose (WPG)	RW	29	1996-03-02	No	221 Lbs	6 ft2	No	No	No	2	Pro & Farm	975,000$	975,000$	0$	0$	No	975,000$		Link / NHL Link
Kole Lind	Moose (WPG)	RW	26	1998-10-16	Yes	193 Lbs	6 ft1	No	No	No	3	Pro & Farm	999,999$	999,999$	0$	0$	No	999,999$	999,999$	Link / NHL Link
Lukas Rousek	Moose (WPG)	LW/RW	26	1999-04-20	Yes	171 Lbs	5 ft11	No	No	No	3	Pro & Farm	999,999$	999,999$	0$	0$	No	999,999$	999,999$	Link / NHL Link
Max Jones	Moose (WPG)	LW	27	1998-02-17	Yes	216 Lbs	6 ft3	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link
Michael Houser	Moose (WPG)	G	33	1992-09-13	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	975,000$	975,000$	0$	0$	No	975,000$		Link / NHL Link
Nikita Grebenkin	Moose (WPG)	RW	22	2003-05-02	Yes	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Patrick Brown	Moose (WPG)	C/RW	33	1992-05-29	No	218 Lbs	6 ft1	No	No	No	1	Pro & Farm	975,000$	975,000$	0$	0$	No			Link / NHL Link
Reilly Walsh	Moose (WPG)	D	26	1999-04-21	Yes	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	975,000$	975,000$	0$	0$	No	975,000$		Link / NHL Link
Ryan Jones (Out of Payroll)	Moose (WPG)	D	29	1996-05-26	Yes	186 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	Yes	950,000$	950,000$	Link / NHL Link
T.J. Tynan (1 Way Contract)	Moose (WPG)	C/LW/RW	33	1992-02-25	No	160 Lbs	5 ft8	No	No	No	2	Pro & Farm	999,999$	999,999$	999,999$	0$	No	999,999$		Link / NHL Link
Tyson Hinds	Moose (WPG)	D	22	2003-03-12	Yes	188 Lbs	6 ft3	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
William Wallinder	Moose (WPG)	D	23	2002-07-28	Yes	191 Lbs	6 ft4	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Zayde Wisdom	Moose (WPG)	C	23	2002-07-07	Yes	195 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	27.06	192 Lbs	6 ft1	2.06	958,165$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2	T.J. Tynan	Filip Bystedt	Kole Lind	30	1	2	2
3	Hayden Hodgson	Antonio Stranges		20	1	2	2
4		Zayde Wisdom	Hayden Hodgson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	William Wallinder		40	1	2	2
2	Tyson Hinds	Guillaume Brisebois	30	1	2	2
3		Zayde Wisdom	20	1	2	2
4	William Wallinder		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2	T.J. Tynan	Filip Bystedt	Kole Lind	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	William Wallinder		60	1	2	2
2	Tyson Hinds	Guillaume Brisebois	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Kole Lind	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	William Wallinder		60	1	2	2
2	Tyson Hinds	Guillaume Brisebois	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	William Wallinder		60	1	2	2
2		40	1	2	2	Tyson Hinds	Guillaume Brisebois	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Kole Lind	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	William Wallinder		60	1	2	2
2	Tyson Hinds	Guillaume Brisebois	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
			William Wallinder

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
			William Wallinder

Extra Forwards
Normal	PowerPlay	Penalty Kill
Antonio Stranges, , Filip Bystedt	Antonio Stranges,	Filip Bystedt

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Tyson Hinds, Guillaume Brisebois		Tyson Hinds, Guillaume Brisebois

Penalty Shots
, , , Kole Lind, Filip Bystedt

Goalie
#1 : Aaron Dell, #2 : Michael Houser

Custom OT Lines Forwards
, , , Kole Lind, Filip Bystedt, Antonio Stranges, Antonio Stranges, T.J. Tynan, , Hayden Hodgson, Zayde Wisdom

Custom OT Lines Defensemen
William Wallinder, , Tyson Hinds, Guillaume Brisebois,

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Admirals	3	1	1	0	1	0	0	0	13	10	3	2	1	0	0	1	0	0	0	8	4	4	1	0	1	0	0	0	0	0	5	6	-1	4	0.667	13	23	36	0	0	112	93	83	5	105	1041	1028	1014	15	101	34	8	71	8	3	37.50%	3	2	33.33%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
2	Americans	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	10	15	0	0	112	93	83	5	45	1041	1028	1014	15	75	18	10	51	4	1	25.00%	5	2	60.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
3	Barracuda	3	1	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	1	6	-5	2	1	1	0	0	0	0	0	5	6	-1	2	0.333	6	10	16	0	0	112	93	83	5	88	1041	1028	1014	15	141	33	37	55	9	1	11.11%	9	5	44.44%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
4	Bears	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	2	1	4	1.000	10	15	25	0	0	112	93	83	5	50	1041	1028	1014	15	83	21	8	36	2	2	100.00%	4	0	100.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
5	Bruins	2	1	1	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	9	18	27	0	0	112	93	83	5	93	1041	1028	1014	15	61	13	0	44	8	1	12.50%	0	0	0.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
6	Checkers	2	2	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	7	3	4	4	1.000	15	26	41	0	0	112	93	83	5	122	1041	1028	1014	15	77	15	15	54	4	3	75.00%	5	2	60.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
7	Comets	3	0	2	0	1	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	2	4	-2	2	0	1	0	1	0	0	0	6	7	-1	2	0.333	8	13	21	1	0	112	93	83	5	114	1041	1028	1014	15	146	31	22	79	7	4	57.14%	11	1	90.91%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
8	Condors	3	1	2	0	0	0	0	0	7	12	-5	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	6	-4	2	0.333	7	11	18	0	0	112	93	83	5	90	1041	1028	1014	15	120	33	20	46	6	1	16.67%	9	2	77.78%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
9	Crunch	2	1	0	0	1	0	0	0	8	5	3	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	1	0	0	0	3	2	1	4	1.000	8	13	21	0	0	112	93	83	5	59	1041	1028	1014	15	77	29	22	44	7	3	42.86%	10	1	90.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
10	Devils	2	0	1	0	0	1	0	0	5	8	-3	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	5	10	15	0	0	112	93	83	5	65	1041	1028	1014	15	78	27	14	34	1	1	100.00%	7	2	71.43%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
11	Eagles	4	1	3	0	0	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	2	6	-4	2	1	1	0	0	0	0	0	6	7	-1	2	0.250	8	16	24	0	0	112	93	83	5	140	1041	1028	1014	15	151	43	23	96	17	3	17.65%	7	2	71.43%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
12	Firebirds	3	3	0	0	0	0	0	0	15	6	9	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	4	3	1	6	1.000	15	25	40	0	0	112	93	83	5	113	1041	1028	1014	15	80	26	14	56	7	0	0.00%	6	0	100.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
13	Griffins	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	6	2	4	4	1.000	13	23	36	0	0	112	93	83	5	128	1041	1028	1014	15	82	19	21	51	6	3	50.00%	3	0	100.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
14	Gulls	3	3	0	0	0	0	0	0	16	10	6	1	1	0	0	0	0	0	0	3	2	1	2	2	0	0	0	0	0	0	13	8	5	6	1.000	16	31	47	0	0	112	93	83	5	137	1041	1028	1014	15	100	30	16	58	10	4	40.00%	8	2	75.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
15	IceHogs	4	0	3	0	0	1	0	0	8	22	-14	2	0	1	0	0	1	0	0	5	10	-5	2	0	2	0	0	0	0	0	3	12	-9	1	0.125	8	14	22	0	0	112	93	83	5	139	1041	1028	1014	15	165	43	29	86	10	2	20.00%	12	6	50.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
16	Marlies	2	1	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	6	2	4	2	0.500	9	15	24	0	0	112	93	83	5	99	1041	1028	1014	15	63	24	10	47	6	2	33.33%	5	2	60.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
17	Monsters	2	0	1	0	0	1	0	0	6	10	-4	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	6	-3	1	0.250	6	12	18	0	0	112	93	83	5	64	1041	1028	1014	15	89	22	12	45	6	1	16.67%	5	1	80.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
18	Penguins	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	6	11	17	0	0	112	93	83	5	62	1041	1028	1014	15	102	26	18	43	7	2	28.57%	9	3	66.67%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
19	Phantoms	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	5	3	2	2	0.500	5	9	14	0	0	112	93	83	5	69	1041	1028	1014	15	75	26	16	48	4	1	25.00%	7	1	85.71%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
20	Reign	3	1	1	0	1	0	0	0	13	11	2	2	1	0	0	1	0	0	0	11	8	3	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	13	24	37	0	0	112	93	83	5	102	1041	1028	1014	15	128	34	20	83	8	1	12.50%	10	3	70.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
21	Roadrunners	3	0	3	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	1	6	-5	0	0.000	6	12	18	0	0	112	93	83	5	92	1041	1028	1014	15	133	40	23	61	10	2	20.00%	8	1	87.50%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
22	Rocket	2	1	1	0	0	0	0	0	9	11	-2	1	1	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	9	16	25	0	0	112	93	83	5	101	1041	1028	1014	15	66	29	6	51	7	1	14.29%	3	2	33.33%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
23	Senators	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	6	9	0	0	112	93	83	5	81	1041	1028	1014	15	60	18	6	48	4	1	25.00%	3	1	66.67%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
24	Silver Knights	3	2	0	0	0	1	0	0	20	15	5	2	1	0	0	0	1	0	0	13	10	3	1	1	0	0	0	0	0	0	7	5	2	5	0.833	20	37	57	0	0	112	93	83	5	176	1041	1028	1014	15	128	29	18	81	11	1	9.09%	8	3	62.50%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
25	Sound Tigers	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	7	11	0	0	112	93	83	5	78	1041	1028	1014	15	84	31	14	50	7	1	14.29%	6	1	83.33%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
26	Stars	4	0	3	0	1	0	0	0	13	19	-6	2	0	1	0	1	0	0	0	7	8	-1	2	0	2	0	0	0	0	0	6	11	-5	2	0.250	13	23	36	1	0	112	93	83	5	122	1041	1028	1014	15	134	34	12	101	10	3	30.00%	6	1	83.33%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
27	Thunderbirds	4	3	1	0	0	0	0	0	15	6	9	2	2	0	0	0	0	0	0	9	1	8	2	1	1	0	0	0	0	0	6	5	1	6	0.750	15	29	44	1	1	112	93	83	5	191	1041	1028	1014	15	126	35	17	90	21	3	14.29%	6	0	100.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
28	Wild	4	2	2	0	0	0	0	0	16	16	0	2	1	1	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	8	7	1	4	0.500	16	29	45	0	0	112	93	83	5	150	1041	1028	1014	15	153	45	23	75	21	5	23.81%	9	1	88.89%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
29	Wolf Pack	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	8	13	1	0	112	93	83	5	70	1041	1028	1014	15	76	27	14	43	4	1	25.00%	7	1	85.71%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
30	Wolves	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	0	112	93	83	5	49	1041	1028	1014	15	95	25	12	56	5	3	60.00%	5	0	100.00%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
31	Wranglers	3	1	2	0	0	0	0	0	10	11	-1	1	0	1	0	0	0	0	0	2	3	-1	2	1	1	0	0	0	0	0	8	8	0	2	0.333	10	18	28	0	0	112	93	83	5	104	1041	1028	1014	15	80	23	17	61	12	2	16.67%	6	2	66.67%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
	Total	82	32	41	0	5	4	0	0	293	300	-7	41	17	17	0	3	4	0	0	155	141	14	41	15	24	0	2	0	0	0	138	159	-21	78	0.476	293	527	820	4	1	112	93	83	5	3098	1041	1028	1014	15	3129	883	497	1844	249	62	24.90%	202	50	75.25%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
	_Since Last GM Reset	82	32	41	0	5	4	0	0	293	300	-7	41	17	17	0	3	4	0	0	155	141	14	41	15	24	0	2	0	0	0	138	159	-21	78	0.476	293	527	820	4	1	112	93	83	5	3098	1041	1028	1014	15	3129	883	497	1844	249	62	24.90%	202	50	75.25%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
	_Vs Conference	50	19	25	0	4	2	0	0	174	186	-12	25	10	10	0	3	2	0	0	92	86	6	25	9	15	0	1	0	0	0	82	100	-18	48	0.480	174	315	489	3	1	112	93	83	5	1863	1041	1028	1014	15	1886	513	299	1099	167	35	20.96%	118	31	73.73%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
	_Vs Division	26	7	16	0	2	1	0	0	79	98	-19	13	4	6	0	2	1	0	0	44	44	0	13	3	10	0	0	0	0	0	35	54	-19	19	0.365	79	146	225	2	1	112	93	83	5	939	1041	1028	1014	15	963	274	135	580	97	21	21.65%	51	13	74.51%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	78	L2	293	527	820	3098	3129	883	497	1844	4	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	32	41	5	4	0	0	293	300

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	17	3	4	0	0	155	141

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	24	2	0	0	0	138	159

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	7	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
249	62	24.90%	202	50	75.25%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1041	1028	1014	15	112	93	83	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1965	1391	1944	578	1027	515

Last Played Games Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
3 - 2025-10-09	17	Stars	3	Moose	4	BW	X	BoxScore
5 - 2025-10-11	22	Reign	5	Moose	6	BW	X	BoxScore
7 - 2025-10-13	42	Moose	2	Sound Tigers	5	AL		BoxScore
10 - 2025-10-16	65	Moose	5	Phantoms	3	AW		BoxScore
12 - 2025-10-18	84	Admirals	2	Moose	3	BW	X	BoxScore
14 - 2025-10-20	96	Moose	3	Wranglers	6	AL		BoxScore
17 - 2025-10-23	119	Firebirds	2	Moose	5	BW		BoxScore
18 - 2025-10-24	126	Wranglers	3	Moose	2	BL		BoxScore
20 - 2025-10-26	143	Roadrunners	6	Moose	5	BL		BoxScore
22 - 2025-10-28	157	Moose	5	Wild	3	AW		BoxScore
24 - 2025-10-30	174	IceHogs	5	Moose	1	BL		BoxScore
26 - 2025-11-01	182	Penguins	4	Moose	2	BL		BoxScore
29 - 2025-11-04	212	Moose	2	Reign	3	AL		BoxScore
32 - 2025-11-07	230	Moose	4	Barracuda	2	AW		BoxScore
34 - 2025-11-09	251	Moose	6	Gulls	4	AW		BoxScore
36 - 2025-11-11	263	Moose	2	Comets	4	AL		BoxScore
38 - 2025-11-13	278	Moose	4	Firebirds	3	AW		BoxScore
40 - 2025-11-15	294	Moose	5	Wranglers	2	AW		BoxScore
43 - 2025-11-18	311	Monsters	4	Moose	3	BL	X	BoxScore
46 - 2025-11-21	333	Wolves	2	Moose	4	BW		BoxScore
48 - 2025-11-23	348	Wild	4	Moose	5	BW		BoxScore
51 - 2025-11-26	367	Moose	3	Bears	2	AW		BoxScore
53 - 2025-11-28	387	Moose	3	Wolves	2	AW		BoxScore
54 - 2025-11-29	397	Moose	5	Admirals	6	AL		BoxScore
56 - 2025-12-01	408	Moose	3	Americans	4	AL		BoxScore
58 - 2025-12-03	422	Moose	2	Rocket	7	AL		BoxScore
60 - 2025-12-05	437	Americans	5	Moose	2	BL		BoxScore
61 - 2025-12-06	450	Moose	2	Condors	6	AL		BoxScore
64 - 2025-12-09	473	Stars	5	Moose	3	BL		BoxScore
66 - 2025-12-11	489	Bruins	2	Moose	6	BW		BoxScore
68 - 2025-12-13	503	Bears	2	Moose	7	BW		BoxScore
70 - 2025-12-15	516	Senators	3	Moose	1	BL		BoxScore
72 - 2025-12-17	531	Moose	4	Thunderbirds	1	AW		BoxScore
74 - 2025-12-19	546	Moose	3	Eagles	5	AL		BoxScore
76 - 2025-12-21	569	Moose	1	Roadrunners	4	AL		BoxScore
82 - 2025-12-27	594	Wild	5	Moose	3	BL		BoxScore
84 - 2025-12-29	609	Condors	5	Moose	1	BL		BoxScore
86 - 2025-12-31	626	Moose	6	Griffins	2	AW		BoxScore
87 - 2026-01-01	634	Moose	6	Marlies	2	AW		BoxScore
89 - 2026-01-03	650	Moose	2	Senators	3	AL		BoxScore
92 - 2026-01-06	673	Silver Knights	3	Moose	7	BW		BoxScore
94 - 2026-01-08	690	Condors	1	Moose	4	BW		BoxScore
95 - 2026-01-09	695	Reign	3	Moose	5	BW		BoxScore
97 - 2026-01-11	711	Devils	4	Moose	3	BL	X	BoxScore
99 - 2026-01-13	732	Sound Tigers	4	Moose	2	BL		BoxScore
101 - 2026-01-15	744	Moose	3	Wild	4	AL		BoxScore
103 - 2026-01-17	762	Marlies	4	Moose	3	BL		BoxScore
105 - 2026-01-19	776	Moose	2	IceHogs	8	AL		BoxScore
106 - 2026-01-20	785	Thunderbirds	1	Moose	6	BW		BoxScore
108 - 2026-01-22	799	Checkers	4	Moose	8	BW		BoxScore
110 - 2026-01-24	815	Griffins	3	Moose	7	BW		BoxScore
113 - 2026-01-27	835	Moose	2	Devils	4	AL		BoxScore
115 - 2026-01-29	846	Moose	3	Crunch	2	AW	X	BoxScore
117 - 2026-01-31	862	Moose	7	Checkers	3	AW		BoxScore
119 - 2026-02-02	882	Moose	2	Stars	4	AL		BoxScore
121 - 2026-02-04	895	Rocket	4	Moose	7	BW		BoxScore
142 - 2026-02-25	915	Moose	4	Comets	3	AW	X	BoxScore
144 - 2026-02-27	933	Moose	7	Gulls	4	AW		BoxScore
146 - 2026-03-01	949	Moose	1	Barracuda	4	AL		BoxScore
148 - 2026-03-03	964	IceHogs	5	Moose	4	BL	X	BoxScore
150 - 2026-03-05	980	Crunch	3	Moose	5	BW		BoxScore
152 - 2026-03-07	996	Comets	4	Moose	2	BL		BoxScore
155 - 2026-03-10	1022	Gulls	2	Moose	3	BW		BoxScore
157 - 2026-03-12	1036	Wolf Pack	5	Moose	3	BL		BoxScore
159 - 2026-03-14	1045	Eagles	4	Moose	1	BL		BoxScore
160 - 2026-03-15	1057	Thunderbirds	0	Moose	3	BW		BoxScore
162 - 2026-03-17	1072	Admirals	2	Moose	5	BW		BoxScore
164 - 2026-03-19	1083	Moose	3	Bruins	4	AL		BoxScore
166 - 2026-03-21	1099	Moose	4	Penguins	5	AL		BoxScore
167 - 2026-03-22	1110	Moose	2	Wolf Pack	5	AL		BoxScore
169 - 2026-03-24	1131	Silver Knights	7	Moose	6	BL	X	BoxScore
171 - 2026-03-26	1145	Eagles	2	Moose	1	BL		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1162	Moose	3	Eagles	2	AW		BoxScore
176 - 2026-03-31	1186	Moose	1	IceHogs	4	AL		BoxScore
178 - 2026-04-02	1198	Moose	4	Stars	7	AL		BoxScore
180 - 2026-04-04	1215	Moose	3	Monsters	6	AL		BoxScore
182 - 2026-04-06	1230	Firebirds	1	Moose	6	BW		BoxScore
185 - 2026-04-09	1253	Moose	2	Thunderbirds	4	AL		BoxScore
187 - 2026-04-11	1272	Phantoms	2	Moose	0	BL		BoxScore
189 - 2026-04-13	1291	Moose	7	Silver Knights	5	AW		BoxScore
190 - 2026-04-14	1297	Moose	0	Roadrunners	2	AL		BoxScore
192 - 2026-04-16	1308	Barracuda	6	Moose	1	BL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	15
Attendance	81,414	40,858
Attendance PCT	99.29%	99.65%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
-31	2982 - 99.41%	80,738$	3,310,274$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,564,021$	1,433,880$	1,433,880$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,556,578$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-2,502,890$	0	12,676$	0$

Moose Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	William Wallinder	159	24	82	106	20	140	398	183	274	8.76%	262	3388	21.31	11	22	33	128	1	1	2	4	1	48.89%	0	0.63	0	0
2	Filip Bystedt	82	34	67	101	0	20	109	293	365	9.32%	34	1745	21.29	3	21	24	50	0	0	3	8	2	54.82%	3	1.16	0	0
3	Max Jones	86	43	52	95	8	75	247	206	358	12.01%	40	2033	23.65	9	12	21	55	3	3	9	6	2	45.73%	0	0.93	2	4
4	Hayden Hodgson	164	42	53	95	-19	153	530	233	416	10.10%	64	2839	17.31	3	5	8	17	0	0	0	3	2	46.58%	2	0.67	0	0
5	Lukas Rousek	75	40	50	90	-12	14	88	183	398	10.05%	34	1654	22.07	11	17	28	76	0	0	1	4	3	54.30%	2	1.09	0	0

Moose Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Aaron Dell	164	67	82	8	0.899	3.79	9005	8	1	569	5612	0	8	7	0.684	19
2	Michael Houser	23	0	6	1	0.917	2.96	873	0	0	43	521	0	0	0	0.000	0

Moose Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2024	82	24	47	0	4	3	2	2	272	321	-49	41	13	22	0	3	1	0	2	126	149	-23	41	11	25	0	1	2	2	0	146	172	-26	65	272	483	755	3	0	93	99	74	10	2573	835	862	855	40	3011	881	640	2039	249	50	20.08%	278	66	76.26%	7	1334	2759	48.35%	1448	3113	46.51%	683	1391	49.10%	1838	1232	2043	617	1073	528
2025	82	32	41	0	5	4	0	0	293	300	-7	41	17	17	0	3	4	0	0	155	141	14	41	15	24	0	2	0	0	0	138	159	-21	78	293	527	820	4	1	112	93	83	5	3098	1041	1028	1014	15	3129	883	497	1844	249	62	24.90%	202	50	75.25%	0	1542	3003	51.35%	1510	3062	49.31%	726	1405	51.67%	1965	1391	1944	578	1027	515
Total Regular Season	164	56	88	0	9	7	2	2	565	621	-56	82	30	39	0	6	5	0	2	281	290	-9	82	26	49	0	3	2	2	0	284	331	-47	143	565	1010	1575	7	1	205	192	157	15	5671	1876	1890	1869	55	6140	1764	1137	3883	498	112	22.49%	480	116	75.83%	7	2876	5762	49.91%	2958	6175	47.90%	1409	2796	50.39%	3803	2624	3987	1196	2100	1043

Moose Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Moose Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Moose
	GP: 82 \| W: 37 \| L: 41 \| OTL: 4 \| P: 78 GF: 293 \| GA: 300 \| PP%: 24.90% \| PK%: 75.25% GM : Sam Vienneau \| Morale : 75 \| Team Overall : 62